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Ali Rahimpour Jounghani
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Localizing confined epileptic foci in patients with an unclear focus or presumed multifocality using a component-based EEG-fMRI method
E Ebrahimzadeh, M Shams, A Rahimpour Jounghani, F Fayaz, ...
Cognitive Neurodynamics 15, 207-222, 2021
332021
A case-study of NIRS application for infant cerebral hemodynamic monitoring: A report of data analysis for feature extraction and infant classification into healthy and unhealthy
A Rahimpour, HA Noubari, M Kazemian
Informatics in Medicine Unlocked 11, 44-50, 2018
232018
Tracking differential activation of primary and supplementary motor cortex across timing tasks: An fNIRS validation study
A Rahimpour, L Pollonini, D Comstock, R Balasubramaniam, H Bortfeld
Journal of neuroscience methods 341, 108790, 2020
192020
Attention level quantification during a modified stroop color word experiment: an fNIRS based study
S Jahani, NH Berivanlou, A Rahimpour, SK Setarehdan
2015 22nd Iranian conference on biomedical engineering (ICBME), 99-103, 2015
182015
Epilepsy Presurgical Evaluation of Patients with Complex Source Localization by a Novel Component-Based EEG-fMRI Approach
E Ebrahimzadeh, M Shams, A Rahimpour Jounghani, F Fayaz, ...
Iranian Journal of Radiology 16 (Special Issue), 2020
172020
Classification of fNIRS based brain hemodynamic response to mental arithmetic tasks
A Rahimpour, A Dadashi, H Soltanian-Zadeh, SK Setarehdan
2017 3rd International conference on pattern recognition and image analysis …, 2017
152017
Machine learning approaches and non-linear processing of extracted components in frontal region to predict rTMS treatment response in major depressive disorder
E Ebrahimzadeh, F Fayaz, L Rajabion, M Seraji, F Aflaki, A Hammoud, ...
Frontiers in Systems Neuroscience 17, 919977, 2023
122023
Vehicle trajectory prediction in top-view image sequences based on deep learning method
ZS Nejad, H Heravi, AR Jounghani, A Shahrezaie, A Ebrahimi
arXiv preprint arXiv:2102.01749, 2021
82021
Localizing confined epileptic foci in patients with an unclear focus or presumed multifocality using a component-based EEG-fMRI method. Cogn Neurodyn 15: 207–222
E Ebrahimzadeh, M Shams, A Rahimpour Jounghani, F Fayaz, ...
Crossref, ISI, 2021
42021
Eye tracking by image processing for helping disabled people
A Rahimpour, AN Moghaddam, M Vafadust
Iranian Journal of Biomedical Engineering (IJBME) 6 (3), 195-205, 2012
42012
Depth Dataset Using Microsoft Kinect-v2
H Heravi, M Delgarmi, AR Jounghani, A Ebrahimi, M Shamsi
22021
Automatic Landmark Detection of Human Back Surface from Depth Images via Deep Learning
M Delgarmi, H Heravi, AR Jounghani, A Shahrezaie, A Ebrahimi, ...
https://opastpublishers.com/journal/world-journal-of-clinical-medical-images …, 2021
22021
Automatic Landmark Detection of Human Back Surface from Depth Images via Deep Learning. bioRxiv. 2021 Jan 1.[45] Heravi H, Aghaeifard R, Jounghani AR, Ebrahimi A, Delgarmi M …
M Delgarmi
Biomedical Engineering: Applications, Basis and Communications 32 (06), 2050042, 2020
22020
EXTRACTING FEATURES OF THE HUMAN FACE FROM RGB-D IMAGES TO PLAN FACIAL SURGERIES
H Heravi, R Aghaeifard, AR Jounghani, A Ebrahimi, M Delgarmi
Biomedical Engineering: Applications, Basis and Communications 32 (06), 2050042, 2020
22020
Where and when matter in visual recognition
T Ghafari, AR Jounghani, H Esteky
Attention, Perception, & Psychophysics 85 (2), 404-417, 2023
12023
Multiple levels of contextual influence on action-based timing behavior and cortical activation
A Rahimpour Jounghani, P Lanka, L Pollonini, S Proksch, ...
Scientific Reports 13 (1), 7154, 2023
2023
The Effect of Contextually Specific, Action-Based Timing Behavior on Human Brain Responses
AR Jounghani
University of California, Merced, 2022
2022
The Effect of Contextually Specific, Action-Based Timing Behavior on Human Brain Responses
A Rahimpour Jounghani
UC Merced, 2022
2022
Association Between Cognitive Decline and Control Beliefs in Midlife and Moderating Effect of Stress Level
A Rahimpour
PsyArXiv, 2021
2021
Vehicle trajectory prediction in top-view image sequences based on deep learning method
Z Salahshoori Nejad, H Heravi, A Rahimpour Jounghani, A Shahrezaie, ...
arXiv e-prints, arXiv: 2102.01749, 2021
2021
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